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GPU computing power server performance advantage

GPU computing server provides customers with scalable computing resources in the cloud, deploys a deep learning environment with one click, and calmly copes with high-real-time, high-concurrency massive computing scenarios.
resnet-50 Inference Benchmark
GPU computing power server performance advantage

Performance advantages

Higher GPU computing performance can help machine learning and other tasks to be better reflected. The relevant performance of GPU products is not afraid of any challenges, and the price is even more advantageous.

Instance configuration

Manufacturer Number of CPUs Memory size GPU model Price
16 cores 32GB 1 V100S $ 1.2/hour

Price description

In the case of not enjoying the discount, purchase on a time-based basis

Purchase and test date

November 18, 2019

Test tool

tensorrt 5.0 trtexec

The advantages of GPU computing power server products

  • High performance

    GPU cloud servers are equipped with high-specification hardware and perform well in the industry in terms of main performance indicators such as GPU, CPU, and memory bandwidth.

  • High cost performance

    No need to build a computer room by yourself, no need to purchase and configure hardware facilities, low application deployment cost, shorten R&D cycle, and reduce enterprise TCO.

  • High flexibility

    Data disks, network cards, and memory can be expanded according to demand, support a variety of application scenarios, monthly payment, flexible lease terms, and help you save 4 to 6 times the cost.

  • Security

    The use environments of different users are independent of each other, and the physical layer and the application layer are securely isolated, and business development does not interfere with each other, fully protecting customer privacy.

Features of GPU computing power server products

  • Quickly obtain GPU resources

    In the four major IDC computer room data centers in the country, one-click GPU cloud server creation can quickly obtain super computing power, easy to use and efficient, no performance loss, and rapid resource acquisition.

  • Efficient calculation, excellent performance

    Transparent transmission of GPU, exclusive to users, to maximize GPU performance, single GPU peak computing capacity has exceeded 13.4TFLOPS single-precision floating-point operations.

  • Dynamic resource allocation

    The GPU cloud server is based on a distributed task management system, with flexible resource scheduling, and supports mixed use of Linux/Windows/CPU/GPU heterogeneous systems. The system also supports complex priority/resource matching logic and ultra-high reliability for sustainable operations Sex.

  • Financial-level security protection

    GPU server is safe, reliable, high-speed transmission of public network access, and supports access through the intranet. Cloud servers provide multiple security solutions such as firewalls and server performance monitoring. Adopting Ruiyun's self-developed radium-speed high-speed transmission protocol, and the entire data transmission process is AES-256 encrypted transmission to ensure efficient and safe delivery of data.

GPU server application industry

GPU server specification type

GPU server products
Typical scene
Video/image processing Scientific computing Scientific computing Rendering
Configuration CPU: AMD 2*7H12
Memory: 32*64G
Hard Disk: 3.84Nvme SSD*7
 CPU: AMD 2*7H12
Memory: 32*64G
Hard Disk: 3.84Nvme SSD*7
 CPU: AMD 2*7H12
Memory: 32*64G
Hard Disk: 3.84Nvme SSD*7
 CPU: AMD 2*7H12
Memory: 32*64G
Hard Disk: 3.84Nvme SSD*7
GPU card RTX3080/RTX3090 V100-16G/V100S P100 GTX1660Ti/GTX1650S
$500/month
Try it now 		$3000/month
Try it now 		$1200/month
Try it now 		$320/month
Try it now

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